ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020
Blood DNA Methylation and Aging: A Cross-Sectional Analysis and Longitudinal Validation in the InCHIANTI Study.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 25 citations in OpenAlex.
- From aging to Alzheimer's disease: concordant brain DNA methylation changes in late life.Genome medicine · 2026Article
- Epigenetic pharmacology in aging: from mechanisms to therapies for age-related disorders.Frontiers in pharmacology · 2025Review
- Age Prediction Using DNA Methylation Heterogeneity Metrics.International journal of molecular sciences · 2024Article
- Integrative Approaches of DNA Methylation Patterns According to Age, Sex and Longitudinal Changes.Current genomics · 2023Article
- Novel feature selection methods for construction of accurate epigenetic clocks.PLoS computational biology · 2022Article
- Obesity-Associated Differentially Methylated Regions in Colon Cancer.Journal of personalized medicine · 2022Article
- The relationship between ageing and changes in the human blood and brain methylomes.NAR genomics and bioinformatics · 2022Article
- The emerging role of long non-coding RNAs, microRNAs, and an accelerated epigenetic age in Huntington's disease.Frontiers in aging neuroscience · 2022Review
- Analyzing Corin-BNP-NEP Protein Pathway Revealing Differential Mechanisms in AF-Related Ischemic Stroke and No AF-Related Ischemic Stroke.Frontiers in aging neuroscience · 2022Article
- Ageing-associated changes in DNA methylation in X and Y chromosomes.Epigenetics & chromatin · 2021Article
- The Future of Livestock Management: A Review of Real-Time Portable Sequencing Applied to Livestock.Genes · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Changes in DNA methylation have been found to be highly correlated with aging in humans, but causes or consequences of these changes are not understood. We characterized the DNA methylomes of several hundred people in the Invecchiare in Chianti study to identify DNA sites in which percent methylation was systematically different with age. Then, we tested the hypothesis that changes of percent methylation in the same DNA sites occur longitudinally for the same DNA sites in the same subjects. We identified six differentially methylated regions in which percent methylation showed robust longitudinal changes in the same direction. We then describe functions of the genes near these differentially methylated regions and their potential relationship with aging, noting that the genes appear to regulate metabolism or cell type specificity. The nature of transcription factor binding sites in the vicinity of these differentially methylated regions suggest that these age-associated methylation changes reflect modulation of two biological mechanisms: the polycomb repressive complex 2, a protein complex that trimethylates histone H3 on lysine 27, and the transcriptional repressor CCCTC-binding factor or CTCF, both of which are regulators of chromatin architecture. These findings are consistent with the idea that changes in methylation with aging are of adaptive nature.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.